When Not to Use FST
· 4 min read
FST's value scales with the consequence of being wrong. When that consequence is low, the overhead is real and the benefit is not. Here is the honest threshold.
FST's value scales with the consequence of being wrong. When that consequence is low, the overhead is real and the benefit is not. Here is the honest threshold.
AI work often moves between agents, models, machines, or people.
The handoff fails when the next worker inherits a summary instead of the actual state of the work.